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College enrollment data acquisition method and system based on artificial intelligence

A data acquisition system and artificial intelligence technology, applied in the field of artificial intelligence, can solve the problems of low recognition accuracy, specialization, low intelligence, and low data collection efficiency.

Pending Publication Date: 2019-07-02
SHANGHAI EAGER INFORMATION TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing OCR software, due to the limitation of its algorithm, has the following problems and shortcomings: low degree of specialization and intelligence, low recognition accuracy rate, resulting in low data collection efficiency, and cannot meet practical needs

Method used

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  • College enrollment data acquisition method and system based on artificial intelligence
  • College enrollment data acquisition method and system based on artificial intelligence
  • College enrollment data acquisition method and system based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment 1

[0077] An artificial intelligence-based college enrollment data collection method, including an intelligent identification process and an intelligent error correction process, sequentially performs data processing and calculation according to the above-mentioned processes, and deeply mines and analyzes college enrollment data;

[0078] In order to improve the specialization and intelligence of OCR (Optical Character Recognition, Optical Character Recognition) technology, the intelligent recognition process adopts artificial intelligence, machine learning, image processing, data mining, coordinate positioning and semantic recognition technology methods, such as figure 2 As shown, the intelligent identification process includes the following steps:

[0079] Step 1: Scanning: Scan the paper documents of the college admissions plans of the provincial education examination institutes into electronic documents;

[0080] Step 2: Slicing: slice the electronic document in step 1, cut ...

specific Embodiment 2

[0142] refer to figure 1 As shown, a college admissions data acquisition system based on artificial intelligence, including OCR identification module, proofreading module, data storage module, intelligent error correction module, the process of intelligent identification, through the OCR identification module, proofreading module, data storage module to realize; the process of intelligent error correction is realized through the intelligent error correction module;

[0143] OCR identification module: through OCR identification of scanned and sliced ​​files, import them into DCS, a university enrollment data acquisition system, to form DCS original data, and perform preliminary labeling and automatic detection of enrollment data;

[0144] Proofreading module: on the basis of preliminary labeling and automatic detection, complete labeling of enrollment data, and manual inspection and proofreading of the data, processing and sorting according to the specified structure and format...

specific Embodiment 3

[0172]Due to the impact of paper impurities, after scanning and OCR import, the "institution name" in the DCS raw data was identified as "Beijing Communications Taixue", and after the steps of preliminary labeling and complete labeling, it entered manual proofreading , such errors, proofreading by traditional manual method, the probability of missed detection is very high, using the method of the present invention, through S002: link each "institution name" field in the DCS data system with the "enrollment institution name standard database " for comparison, check whether the information is correct and complete, and automatically correct errors. The institution name field "Beijing Jiaotong Taixue" is automatically corrected to "Beijing Jiaotong University".

[0173] The invention provides an artificial intelligence-based college admissions data collection method, through the process of intelligent identification + intelligent error correction, which greatly improves the efficie...

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Abstract

The invention discloses a college enrollment data collection method and system based on artificial intelligence, and relates to the technical field of artificial intelligence. The method comprises theprocesses of intelligent identification and intelligent error correction. Data processing and operation are sequentially carried out according to the process, and the processes of deep mining, analysis and intelligent recognition on college enrollment data are achieved through an OCR recognition module, a manual checking module and a data storage module by adopting a technical method of artificial intelligence, machine learning, image processing, data mining, coordinate positioning and semantic recognition. And an intelligent error correction process is realized through an intelligent error correction module. Through the intelligent identification process, the specialization and intelligence of the identification process are improved, and the accuracy of college enrollment data identification is remarkably improved; and through an intelligent error correction process, the efficiency and the accuracy of college entrance examination volunteering filling auxiliary platform data acquisition are greatly improved.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an artificial intelligence-based college enrollment data collection method and system. Background technique [0002] With the deepening of the comprehensive reform of the examination and enrollment system of colleges and universities, the college admissions policy has changed a lot in recent years (voluntary reporting rules, admission batch settings, and enrollment plans have all changed), and there are great differences between provinces. Big. In the enrollment process of ordinary colleges and universities, the time interval between the announcement of the enrollment plan for the year by the provincial education examination institutes and the submission of voluntary reports by candidates is very tight, usually only about one week. In order to input the current year's enrollment plan into the college entrance examination voluntary filling auxiliary pl...

Claims

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Application Information

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IPC IPC(8): G06F16/25G06K9/34G06F11/10G06Q50/20
CPCG06F11/1004G06Q50/205G06V30/153
Inventor 耿忠诚
Owner SHANGHAI EAGER INFORMATION TECHNOLOGY CO LTD
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